The HVS function, HVS function is inversely Fourier transformed in frequency domain, and the method is realized by calculating some value of the function in spacial domain as convolve nucleus.
根据HVS函数的特点,对频域中HVS函数进行反傅立叶变换,将空间域中该函数的部分函数值作为特定的模板参数,并与原图像进行卷积来实现边缘检测。
However, most amino acids, except arginine, valine and glutamic acid, were lower in HVS than DSBM if it is calculated per 100 g crude protein basis.
而以每100克蛋白质中氨基酸含量计算,除精氨酸、酪氨酸和谷氨酸外,HVS中其它氨基酸含量均低于DSBM。
To make the compromise between the robustness and the imperceptivity, a new 3-d HVS model is reconstructed and used to adjust the embedding strength.
为了平衡鲁棒性和不可感知性,新的适用于3维的人类视觉模型被重构并用于调整水印的嵌入强度。
Two blind watermark algorithms based on HVS in DCT domain are proposed.
提出了DCT变换域上基于人类视觉特性(HVS)的两种盲水印添加方法。
In this paper, we present a novel robust digital image watermark arithmetic based on Wavelet Packet with Best Tree with combining HVS and embedding method of image adaptive.
本文提出了一种结合人眼视觉特性(HVS)的自适应水印嵌入方法的基于最优小波包基数字图像水印鲁棒性算法。
An algorithm of digitalimage blind watermarking technique combined with human visual system(HVS) is introduced, this algorithm uses common aspect between HVS and wavelet to embed watermarking.
提出了一种结合人类视觉系统的数字图像盲水印技术,它利用小波变化和人类视觉系统的共通点,进行水印的嵌入。
A novel blind image quality assessment method based on property of HVS was proposed to evaluate the quality of noisy image.
文中针对含噪图像的质量评价,提出一种基于人眼视觉特性的盲图像质量评价算法。
The HVS model is based on the computation of the noise visibility function (NVF) and embed at the texture and edge region stronger embedded watermarks.
模型基于噪声可见性函数(NVF)的计算来决定水印嵌入强度,使水印更多的嵌入到图像的纹理和边缘区域。
To satisfy the balance between the robustness and the imperceptivity, the HVS model is used to adaptively adjust the watermark embedding strength.
为了满足鲁棒性和不可感知性之间的平衡,使用人类视觉模型自适应地调节水印的嵌入强度。
The main character of the HVS is that, by means of fluctuating oil pressure, the pile-driving force can be changed in a higher frequency, and therefore better vibrating effect can be gained.
液压振动系统的主要特点是在桩机液压系统中的压桩油路产生流体压力变化和波动,从而使沉桩力出现高频的周期变化,产生振动压桩的效果。
An image noise detection model was given and two no-reference quality assessment methods based on HVS were proposed.
给出图像噪声检测模型,提出了两种基于HVS的图像信噪比无参考质量评价方法。
The block-based DCT compression methods often cause blocking artifacts due to low bit rates. A new algorithm is proposed which combines HVS and entropy analysis.
针对离散余弦变换基于块(DCT)图像压缩的方法通常因比特率低而导致块效应,结合人类视觉系统(HVS)和局部熵分析,提出一种新的去块效应算法。
Using HVS to choose the adaptive strength of embedding, it has a better invisibility and robustness.
并利用视觉掩蔽效应自适应地选择嵌入强度,使得不可见性和鲁棒性得到很好的折中。